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Robert Abel

Showing results (31-40 of 82) with videos related to

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Journal of Chemical Information and Modeling|January 21, 2022
The Impact of Experimental and Calculated Error on the Performance of Affinity PredictionsGary Tresadern, Kanaka Tatikola, Javier Cabrera, et al.
Journal of the American Chemical Society|December 25, 2008
Protein side-chain dynamics and residual conformational entropyNikola Trbovic, Jae-Hyun Cho, Robert Abel, et al.
Journal of Chemical Theory and Computation|December 29, 2020
General Theory of Fragment Linking in Molecular Design: Why Fragment Linking Rarely Succeeds and How to Improve OutcomesHaoyu S Yu, Kalyan Modugula, Osamu Ichihara, et al.
The Journal of Physical Chemistry. B|November 15, 2014
Docking and free energy perturbation studies of ligand binding in the kappa opioid receptorDahlia A Goldfeld, Robert Murphy, Byungchan Kim, et al.
Journal of Chemical Theory and Computation|September 21, 2020
Enhancing Water Sampling in Free Energy Calculations with Grand Canonical Monte CarloGregory A Ross, Ellery Russell, Yuqing Deng, et al.
Journal of Molecular Biology|January 1, 2015
Conformational preferences underlying reduced activity of a thermophilic ribonuclease HKate A Stafford, Nikola Trbovic, Joel A Butterwick, et al.
Journal of Molecular Biology|February 19, 2019
Relative Binding Affinity Prediction of Charge-Changing Sequence Mutations with FEP in Protein-Protein InterfacesAnthony J Clark, Christopher Negron, Kevin Hauser, et al.
Journal of Chemical Theory and Computation|March 15, 2022
Transferable Neural Network Potential Energy Surfaces for Closed-Shell Organic Molecules: Extension to IonsLeif D Jacobson, James M Stevenson, Farhad Ramezanghorbani, et al.
Journal of Chemical Theory and Computation|September 30, 2021
Efficient Exploration of Chemical Space with Docking and Deep LearningYing Yang, Kun Yao, Matthew P Repasky, et al.
Journal of Chemical Information and Modeling|June 12, 2014
Docking covalent inhibitors: a parameter free approach to pose prediction and scoringKai Zhu, Kenneth W Borrelli, Jeremy R Greenwood, et al.
Pageof 9

Showing results (31-40 of 82) with videos related to

Sort By:
Pageof 9
Journal of Chemical Information and Modeling|January 21, 2022
The Impact of Experimental and Calculated Error on the Performance of Affinity PredictionsGary Tresadern, Kanaka Tatikola, Javier Cabrera, et al.
Journal of the American Chemical Society|December 25, 2008
Protein side-chain dynamics and residual conformational entropyNikola Trbovic, Jae-Hyun Cho, Robert Abel, et al.
Journal of Chemical Theory and Computation|December 29, 2020
General Theory of Fragment Linking in Molecular Design: Why Fragment Linking Rarely Succeeds and How to Improve OutcomesHaoyu S Yu, Kalyan Modugula, Osamu Ichihara, et al.
The Journal of Physical Chemistry. B|November 15, 2014
Docking and free energy perturbation studies of ligand binding in the kappa opioid receptorDahlia A Goldfeld, Robert Murphy, Byungchan Kim, et al.
Journal of Chemical Theory and Computation|September 21, 2020
Enhancing Water Sampling in Free Energy Calculations with Grand Canonical Monte CarloGregory A Ross, Ellery Russell, Yuqing Deng, et al.
Journal of Molecular Biology|January 1, 2015
Conformational preferences underlying reduced activity of a thermophilic ribonuclease HKate A Stafford, Nikola Trbovic, Joel A Butterwick, et al.
Journal of Molecular Biology|February 19, 2019
Relative Binding Affinity Prediction of Charge-Changing Sequence Mutations with FEP in Protein-Protein InterfacesAnthony J Clark, Christopher Negron, Kevin Hauser, et al.
Journal of Chemical Theory and Computation|March 15, 2022
Transferable Neural Network Potential Energy Surfaces for Closed-Shell Organic Molecules: Extension to IonsLeif D Jacobson, James M Stevenson, Farhad Ramezanghorbani, et al.
Journal of Chemical Theory and Computation|September 30, 2021
Efficient Exploration of Chemical Space with Docking and Deep LearningYing Yang, Kun Yao, Matthew P Repasky, et al.
Journal of Chemical Information and Modeling|June 12, 2014
Docking covalent inhibitors: a parameter free approach to pose prediction and scoringKai Zhu, Kenneth W Borrelli, Jeremy R Greenwood, et al.
Pageof 9